Journal of System Simulation
Abstract
Abstract: The trajectory optimization of ascending stage for multi-stage solid launch vehicle using artificial fish-swarm optimization algorithm is presented. The flight program angle of ascending stage is designed. A pseudo-spectral method is used to discretize the dynamic optimization problem into the parameter optimization problem. The fish-swarm algorithm is used to solve an initial ballistics as the initial value, and the parameter optimization problem is solved by SQP. The simulation results show that the fish-swarm algorithm can effectively solve the trajectory optimization problem of multi-stage solid launch vehicles. The flight duration of the optimized scheme is reduced. The algorithm has a fast convergence rate, requires less control parameters, and has a low dependence on the initial value. It is easy to implement and has a good reference for studying the ballistic optimization of multi-stage solid launch vehicles.
Recommended Citation
Li, Xiaosu; Tao, Chao; and Wang, Songyan
(2019)
"Trajectory Optimization Design of Ascending Phase for Solid Launch Vehicle Based on Fish-swarm Algorithm,"
Journal of System Simulation: Vol. 30:
Iss.
12, Article 32.
DOI: 10.16182/j.issn1004731x.joss.201812032
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss12/32
First Page
4747
Revised Date
2018-07-29
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201812032
Last Page
4754
CLC
V11
Recommended Citation
Li Xiaosu, Chao Tao, Wang Songyan. Trajectory Optimization Design of Ascending Phase for Solid Launch Vehicle Based on Fish-swarm Algorithm[J]. Journal of System Simulation, 2018, 30(12): 4747-4754.
DOI
10.16182/j.issn1004731x.joss.201812032
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